Generic models are giving way to deep integrations where AI development happens inside the enterprise

I keep seeing teams conflate AI agents with agentic AI, and this distinction matters more than most realize. One's a contained service; the other's a network of intelligent actors making collective decisions.

Excerpt: JPMorgan predicts AI productivity gains in under seven years versus 61 for steam engines. But current entry-level job losses suggest the transition might be rougher than historical precedent indicates.

Scalekit raised $5.5M to build authentication for AI agents. With Gartner predicting 25% of breaches by 2028 will involve compromised agents, traditional identity management needs an upgrade for autonomous workflows.

Developer discovers splitting AI into planning and execution agents beats monolithic design for complex voice tasks like restaurant reservations.

At IAPP PSR 2025, the pattern was clear: we're building AI systems faster than accountability structures.

AI accountability isn't just about rules—it's about redesigning management for systems that move faster than human judgment.

Anthropic's $1B RL environment budget signals training phase liability issues. When agents learn in simulated workflows, who owns the resulting IP? Product teams need training data governance before shopping for agent capabilities.